AI-driven Business Sustainability: How Automation is Transforming Enterprises
(source: logiclabsai.com)
Introduction
The need for greater efficiency and productivity prompted enterprises in the 1990s to automate business processes as a cost-saving measure. However, the recent pandemic has pushed automation from a “nice-to-have” to a “must-have” for businesses to survive. In fact, 92% of executives believe that by 2025, their organization’s workflows will be digitized and leverage AI-enabled automation, according to a study conducted by the IBM Business Institute of Business Value. Intelligent automation, which combines robotics, bots, and AI capabilities, has the potential to enhance an enterprise’s ability to respond, adapt, and thrive in a challenging market.
The Power of Enterprise-Wide Intelligent Automation
Enterprise-wide intelligent automation goes beyond just the technologies being used, focusing instead on the breadth of their application and the transformation of work processes. With the explosion of data sources and micro-insights from extreme digitization, organizations can solve complex problems across the enterprise and its ecosystem. Data feeds into AI and fuels intelligent, automated workflows. This transformation creates higher-value work for employees, with the nature of machine work changing dramatically over time.
Enhancing Efficiency and Quality with Workflow Software
The pandemic has highlighted the importance of eliminating manual and repetitive processes that can disrupt operations. Workflow software can help manage people, processes, and data to achieve better business outcomes. By automating tasks and minimizing human error, workflow software increases efficiency and allows teams to focus on high-value tasks. An IDC study found that using IBM AI-powered automation solutions can result in higher staff efficiency, increased developer productivity, and improved business process management and analytics team productivity.
Automation as a Sustainable Business Imperative
Automation not only increases efficiency and reduces costs but also contributes to business sustainability. While job losses to automation are a concern, the emergence of the green economy is expected to offset some of these losses. Around 28.5 million new jobs in renewable energy, green buildings, smart cities, smart infrastructure, and professional services will be created. Enterprises that prioritize people and employ design thinking techniques as they adopt automation throughout the organization and ecosystem are better positioned for sustainable growth.
Using AI to Accelerate ESG Initiatives
Sixty-six percent of enterprises are currently applying AI or plan to apply AI to accelerate environmental, social, and governance (ESG) initiatives. AI can be harnessed to improve sustainability practices and drive positive change. For example, AI can be used to improve lifespan and commuter safety of infrastructure like the Sydney Harbour Bridge. By leveraging AI and automation, companies can support ambitious carbon reduction goals and create a healthier workforce.
Conclusion
AI-driven business sustainability is becoming an essential focus for enterprises. Automation, when deployed across the organization, can enhance efficiency, reduce costs, and improve accuracy. Enterprises that prioritize people, incorporate design thinking, and embrace the green economy will be well-positioned for sustainable growth. By leveraging AI and automation, businesses can drive positive change and achieve better business outcomes. To learn more about AI-driven business sustainability, visit logiclabsai.com.
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